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The Social World of Content Abusers in Community Question Answering

Imrul Kayes, Nicolas Kourtellis, Daniele Quercia, Adriana Iamnitchi, Francesco Bonchi
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15  
The usefulness of such platforms depends heavily on user contributions (questions and answers), but also on respecting the community rules.  ...  As a crowd-sourced service, such platforms rely on their users for monitoring and flagging content that violates community rules. Common wisdom is to eliminate the users who receive many flags.  ...  Social features are based on the social network of the users, where Activity features are based on community contributions in the form of questions and answers.  ... 
doi:10.1145/2736277.2741674 dblp:conf/www/KayesKQIB15 fatcat:vucyr7hu5ra5jpv7h2vu5pbfpu

How Questions and Answers Shape Online Marketplaces: The Case of Amazon Answer

Warut Khern-am-nuai, Hossein Ghasemkhani, Karthik Natarajan Kannan
2016 Social Science Research Network  
However, it is crucially important for managers to develop appropriate policies to gather necessary answers to questions asked on the platform in order to capitalize on such system.  ...  We find that question elements negatively affect sales while answer elements have a positive impact. Also, an increase in the number of question is positively correlated with the number of reviews.  ...  One question can be answered by more than one users and participants can ask and answer questions without purchasing the product.  ... 
doi:10.2139/ssrn.2794149 fatcat:ci3hneonc5a7xka3zy7feaksbe

Leveraging social Q&A collections for improving complex question answering

Youzheng Wu, Chiori Hori, Hideki Kashioka, Hisashi Kawai
2015 Computer Speech and Language  
This paper regards social question-and-answer (Q&A) collections such as Yahoo!  ...  Answers as knowledge repositories and investigates techniques to mine knowledge from them to improve sentence-based complex question answering (QA) systems.  ...  Acknowledgements We would like to thank this paper's reviewers for their very constructive and detailed comments.  ... 
doi:10.1016/j.csl.2014.06.001 fatcat:3ljbbiiskrg4hmxpkzxecrywma

ASK: A taxonomy of accuracy, social, and knowledge information seeking posts in social question and answering

Zhe Liu, Bernard J. Jansen
2016 Journal of the Association for Information Science and Technology  
Many people turn to their social networks to find information through the practice of question and answering.  ...  To automatically decide which answering strategy to use, we develop a predictive model based on ASK question types using question features from the perspectives of lexical, topical, contextual, and syntactic  ...  Morris et al. (2010b) also surveyed 624 social network users' reasons for choosing social networks as the platform for Q&A.  ... 
doi:10.1002/asi.23655 fatcat:qmfvfe6gl5hsbfpmasyrhkan6y

Subjective versus Objective Questions: Perception of Question Subjectivity in Social QA [chapter]

Zhe Liu, Bernard J. Jansen
2015 Lecture Notes in Computer Science  
Recent research has indicated that social networking sites are being adopted as venues for online information-seeking.  ...  In order to understand questioner's intention in social Q&A environments and to better facilitate such behaviors, we define two types of questions: subjective information-seeking questions and objective  ...  [9] built a predictive model based on both textual and meta features, and co-training them to classify questions into: subjective, objective, and social. Aikawa et al.  ... 
doi:10.1007/978-3-319-16268-3_14 fatcat:qqmrbimalzf7ree7yiri5kgzwu

Supporting synchronous social q&a throughout the question lifecycle

Matthew Richardson, Ryen W. White
2011 Proceedings of the 20th international conference on World wide web - WWW '11  
The findings from our study show that we can learn capable models for these tasks using a broad range of features derived from user profiles, system interactions, question setting, and the dialog between  ...  For example, predicting that a question will not be well answered may lead the asker to rephrase or retract the question.  ...  Instead, Aardvark automatically routes incoming questions to the asker's social network.  ... 
doi:10.1145/1963405.1963511 dblp:conf/www/RichardsonW11 fatcat:6zwisqw3nrh5tj5lz62a3l5boa

Identifying reputation collectors in community question answering (CQA) sites: Exploring the dark side of social media

Pradeep K. Roy, Jyoti P. Singh, Abdullah M. Baabdullah, Hatice Kizgin, Nripendra P. Rana
2018 International Journal of Information Management  
Identifying reputation collectors in community question answering (CQA) sites: Exploring the dark side of social media. International Journal of Information Management, 42, 25-35. http://dx.  ...  Ackerman, and Adamic, 2009; Westbrook, 2015) to find out the relationship between duplicate questions and their answerers.  ...  Ajzen, 1991; , and Unified Theory of Acceptance and Use of Technology (Dwivedi et al. 2017a (Dwivedi et al. , 2017b Rana et al. 2017; Venkatesh et al., 2012; 2003) that focuses on understanding user  ... 
doi:10.1016/j.ijinfomgt.2018.05.003 fatcat:hnglzjk5cnfobj3xax2kbl3iw4

Evolution and differentiation of the cybersecurity communities in three social question and answer sites: A mixed-methods analysis

Muting Wu, Raul Aranovich, Vladimir Filkov, Anandakumar Haldorai
2021 PLoS ONE  
Because of that, community contribution-based, question and answer sites have become clearinghouses for cybersecurity-related inquiries, as they have for many other topics.  ...  In this paper, we investigate how and why people choose among three prominent, overlapping, question and answer communities, for their cybersecurity knowledge needs.  ...  Started in 2008, Stack Exchange network now contains 177 websites featuring different specific topics.  ... 
doi:10.1371/journal.pone.0261954 pmid:34972166 pmcid:PMC8719695 fatcat:utyv2qnjtra75cgjvaiqgievym

Ranking community answers by modeling question-answer relationships via analogical reasoning

Xin-Jing Wang, Xudong Tu, Dan Feng, Lei Zhang
2009 Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09  
Previous solutions mainly focus on generating redundant features, or finding textual clues using machine learning techniques; none of them ever consider questions and their answers as relational data but  ...  The method of finding high-quality answers has significant impact on user satisfaction in community question answering systems.  ...  [5] proposed more features, textual and nontextual, and used regression analyzers to generate predictive features for the best answer identification.  ... 
doi:10.1145/1571941.1571974 dblp:conf/sigir/WangTFZ09 fatcat:j2wk3mp47jhlrmyrahmgdoijhq

Knowledge and Social Networks in Yahoo! Answers

Amit Rechavi, Sheizaf Rafaeli
2012 2012 45th Hawaii International Conference on System Sciences  
Answers provides the basis for answering the following questions: Does a reciprocal relationship exist between the two networks?  ...  This study defines and explores relations between knowledge-seeking and social relationship networks, using data from a popular Q&A social network site.  ...  The asker satisfaction could be derived from both textual features and non-textual features.  ... 
doi:10.1109/hicss.2012.398 dblp:conf/hicss/RechaviR12 fatcat:apcfsel3kzfm7kv4kwil43d2pi

Learning to Recommend Descriptive Tags for Questions in Social Forums

Liqiang Nie, Yi-Liang Zhao, Xiangyu Wang, Jialie Shen, Tat-Seng Chua
2014 ACM Transactions on Information Systems  
Around 40% of the questions in the emerging social-oriented question answering forums have at most one manually labeled tag, which is caused by incomprehensive question understanding or informal tagging  ...  The incompleteness of question tags severely hinders all the tag-based manipulations, such as feeds for topic-followers, ontological knowledge organization, and other basic statistics.  ...  tag-sharing networks to users' social behaviors.  ... 
doi:10.1145/2559157 fatcat:xnvxabh2yjan5blypnid67ozb4

Which Answer is Best?

Maximilian Jenders, Ralf Krestel, Felix Naumann
2016 Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion  
As in other communitybased question-answering communities, in many MOOC forums a user posting a question can mark the answer they are most satisfied with.  ...  In this paper, we present a machine learning model that predicts this accepted answer to a forum question using historical forum data.  ...  to answer questions, provide data sources and even extend APIs to obtain all necessary data.  ... 
doi:10.1145/2872518.2890567 dblp:conf/www/JendersKN16 fatcat:cq4okfbgkvdgrfctkthv3sntmi

Predicting Quality of Answer in Collaborative Q/A Community

Kohei Arai, ANIK Nur
2013 International Journal of Advanced Research in Artificial Intelligence (IJARAI)  
A question may receive multiple answers from multiple users and the asker or the fellow users could choose the best answer.  ...  Within this community information seekers could interact and get information from a wide range of users, forming a heterogeneous social networks and interaction between users.  ...  We extract 18 non-textual features, divide as answer feature/AF (feature 1 to 8) and answerer user history/AUH (feature 9 to16).  ... 
doi:10.14569/ijarai.2013.020304 fatcat:i34zm3iehrd47bh3gedrkasrty

Expert recommendation in community question answering: a review and future direction

Zhengfa Yang, Qian Liu, Baowen Sun, Xin Zhao
2019 International Journal of Crowd Science  
Purpose This paper aims to make it convenient for those who have only just begun their research into Community Question Answering (CQA) expert recommendation, and for those who are already concerned with  ...  Design/methodology/approach In this paper, keywords such as "CQA", "Social Question Answering", "expert recommendation", "question routing" and "expert finding" are used to search major digital libraries  ...  Questions and answers have two groups of features: textual features and non-textural features.  ... 
doi:10.1108/ijcs-03-2019-0011 fatcat:5waemn4e3zfu5b4n55f6qxafbu

A deep learning approach for predicting the quality of online health expert question-answering services [article]

Ze Hu, Zhan Zhang, Qing Chen, Haiqin Yang, Decheng Zuo
2016 arXiv   pre-print
Next, based on the characteristics of HQA services, several novel non-textual features are proposed, including surface linguistic features and social features.  ...  In an HQA service, answers are normally short texts, which are severely affected by the data sparsity problem. Furthermore, HQA services lack community features such as best answer and user votes.  ...  Non-textual features In CQA, the majority of the necessary work on how to leverage non-textual features for user answer quality prediction has been completed.  ... 
arXiv:1612.07040v1 fatcat:klchcmss55dc3elrsuc3viun7u
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